It is essential to publish and make available environmental data gathered by emerging
robotic platforms to contribute to the Global Ocean Observing System (GOOS), supported by …

Underwater robotic surveys can be costly due to the complex working environment and the
need for various sensor modalities. While underwater simulators are essential, many …

With the growing interest in underwater exploration and monitoring, Autonomous
Underwater Vehicles (AUVs) have become essential. The recent interest in onboard Deep …

Due to the difficulty and expense of underwater field trials, a high-fidelity underwater
simulator is a necessity for testing and developing algorithms. To fill this need, we present …

This review explores the evolution of human-machine interfaces (HMIs) for subsea
telerobotics, tracing back the transition from traditional first-person" soda-straw" consoles …

In this paper, we address the problem of autonomous search and vessel detection in an
unknown GNSS-denied maritime environment with fixed-wing UAVs. The main challenge in …

Unmanned Surface Vehicles (USVs) are used in a variety of applications today. They can
also be used in multi-robot systems together with Unmanned Underwater Vehicles (UUVs) …

Boat detection and classification is extremely im-portant for tasks such as autonomous
navigation of unmanned vessels with collision avoidance or target identification (maritime …

Technical dives are challenging as they often involve inhospitable sites with limited or no
visibility, dangerous or cluttered environments and are under a constant influence of …

An exciting and promising frontier for Deep Reinforcement Learning (DRL) is its application
to real-world robotic systems. While modern DRL approaches achieved remarkable …